Data Insights Analyst — Visa Sponsorship & Growth

Work corp; Norway; On-site; NOK 82,000 - 111,000; Full time

Benefits offered by this job

Visa sponsorship

Growth opportunities

Competitive salary

Job summary

Work corp is seeking a Data Analyst to collect, clean, and organize large data sets, analyze patterns, and present insights to stakeholders. The role requires SQL and Python, plus experience with visualization tools like Tableau or Power BI.

You will work with cross-functional teams to identify business needs and deliver data-driven solutions, while continuously improving data processes and staying current with analytics trends.

Qualifications

• Bachelor's degree in statistics, mathematics, or computer science.
• Proven experience in data analytics or a related role.
• Strong proficiency in SQL and Python.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Understanding of statistical concepts (regression, hypothesis testing).
• Excellent problem-solving and analytical thinking skills.
• Attention to detail and strong communication with non-technical stakeholders.

Responsibilities

• Collect, clean, and organize large data sets from various sources.
• Apply statistical methods to analyze data and extract insights.
• Create visualizations and reports to present findings to stakeholders.
• Collaborate with cross-functional teams to identify business needs and develop data-driven solutions.
• Identify opportunities for process improvement based on analysis results.
• Stay updated on industry trends and data analytics advancements.

Skills

SQL

Python

Analytical thinking

Communication

Problem solving

Education

Bachelor's degree in statistics/math/CS

Tools

Tableau

Power BI

Job description

Work corp is seeking a Data Analyst to collect, clean, and organize large data sets, analyze patterns, and present insights to stakeholders. The role requires SQL and Python, plus experience with visualization tools like Tableau or Power BI.

You will work with cross-functional teams to identify business needs and deliver data-driven solutions, while continuously improving data processes and staying current with analytics trends.